basler gige相机 怎么使用opencv显示图像
这个是官方的例子，我把头文件，库都配好后，可以运行。
但是它直接调用的是pylon的窗口，现在我想用opencv的窗口来显示他
#include
// Namespace for using pylon objects. using namespace Pylon;
// Namespace for using cout. using namespace std;
// Number of images to be grabbed.
static const uint32_t c_countOfImagesToGrab = 100;
int main(int argc, char* argv[])
{
// The exit code of the sample application. int exitCode = 0;
// Automagically call PylonInitialize and PylonTerminate to ensure the pylon runtime system
// is initialized during the lifetime of this object. Pylon::PylonAutoInitTerm autoInitTerm;
try {
// Create an instant camera object with the camera device found first.
CInstantCamera camera( CTlFactory::GetInstance().CreateFirstDevice());
// Print the model name of the camera.
cout << \ << camera.GetDeviceInfo().GetModelName() << endl;
// The parameter MaxNumBuffer can be used to control the count of buffers
// allocated for grabbing. The default value of this parameter is 10.
camera.MaxNumBuffer = 5;
// Start the grabbing of c_countOfImagesToGrab images.
// The camera device is parameterized with a default configur
ation which
// sets up free-running continuous acquisition. camera.StartGrabbing( c_countOfImagesToGrab);
// This smart pointer will receive the grab result data. CGrabResultPtr ptrGrabResult;
// Camera.StopGrabbing() is called automatically by the RetrieveResult() method
// when c_countOfImagesToGrab images have been retrieved. while ( camera.IsGrabbing()) {
// Wait for an image and then retrieve it. A timeout of 5000 ms is used.
camera.RetrieveResult( 5000, ptrGrabResult, TimeoutHandling_ThrowException
);
// Image grabbed successfully? if (ptrGrabResult->GrabSucceeded()) {
// Access the image data.
cout << \ << ptrGrabResult->GetWidth() << endl; cout << \ << ptrGrabResult->GetHeight() << endl;
const uint8_t *pImageBuffer = (uint8_t *) ptrGrabResult->GetBuffer(); cout << \ << (uint32_t) pImageBuf
fer[0] << endl << endl;
// Display the grabbed image. Pylon::DisplayImage(1, ptrGrabResult); } else {
cout << \ << ptrGrabResult->GetErrorCode() << \ << ptrGr
abResult->GetErrorDescription();
} } }
catch (GenICam::GenericException &e) {
// Error handling.
cerr << \ << endl << e.GetDescription() << endl; exitCode = 1; }
// Comment the following two lines to disable waiting on exit. cerr << endl << \ << endl; while( cin.get() != '\\n');
return exitCode;
}
opencv显示的代码很简洁如下
#include \ #include \ using namespace cv; using namespace std; int main( )
{
//声明IplImage指针 IplImage* pFrame = NULL;
//获取摄像头
CvCapture* pCapture = cvCreateCameraCapture(0); //CvCapture* pCapture2 = cvCreateCameraCapture(0);
//创建窗口
cvNamedWindow(\摄像头\, 1);
//显示视屏 while(1) {
pFrame=cvQueryFrame( pCapture ); if(!pFrame) break;
cvShowImage(\摄像头\,pFrame);
char c=cvWaitKey(33); if(c==27) break; }
cvReleaseCapture(&pCapture); cvDestroyWindow(\摄像头\); return 0;
}